Absolute fit indices measure how well the specified model reproduces the
observed data without comparison to a baseline model (e.g., Chi-square,
RMSEA, SRMR). Incremental fit indices compare the specified model to a
more restricted baseline model, typically the null model (e.g., CFI,
TLI).